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This approach used unscented transformation to derive a mixture representation of the predicted probable distribution function and applied a multistage sampling strategy to approximate the likelihood function.
Different from Web surveys based on samples of self-selection, this study started with a multistage sampling strategy and drew a stratified sample of 11 high schools representing different school ranks in Nanjing.
A probabilistic multistage sampling strategy was performed taking individual subjects as the sampling unit and the three stages being county, household, and individual.
A multistage sampling strategy was used to identify study participants.
Multistage sampling strategy was used for selection of participants.
Surveying took place on weekdays in May July 2012, using a stratified multistage sampling strategy.
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This survey used a multistage sampling scheme.
A self-administered mail-back questionnaire was developed and distributed to 322 households using a multistage cluster sampling strategy; 179 questionnaires were returned (55.6%).
To combat the computational complexity of FCM, Cheng et al. [15] proposed a multistage random sampling strategy.
A multistage randomised sampling strategy was used.
A nationally representative household based sample was created through a stratified, multistage cluster sampling strategy.
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